Inference of peak density of indirect branches to detect ROP attacks

Article Details
Title:	Inference of peak density of indirect branches to detect ROP attacks
Article URLs:	https://doi.org/10.1145/2854038.2854049 http://ieeexplore.ieee.org/document/7559540/
Alternative Article URLs:	http://homepages.dcc.ufmg.br/~fernando/publications/papers/CGO16_mateus.pdf
Authors:	Mateus Tymburibá	UFMG, Department of Computer Science
	Rubens E. A. Moreira	UFMG, Department of Computer Science
	Fernando Magno Quintão Pereira	UFMG, Department of Computer Science
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	http://cuda.dcc.ufmg.br/rip-rop-deducer/artifact.tar.gz http://cuda.dcc.ufmg.br/rip-rop-deducer/
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NSF Award Numbers:
DBLP Key:	conf/cgo/TymburibaMP16
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IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2016